Data Sanity Talks
Data Science is a rapidly evolving field with endless possibilities — and endless challenges. Our mission is to unite experts from diverse communities, industries, and nations, encouraging the exchange of unique experiences and insights. Together, we want to accelerate professional growth, spark collaboration, and inspire innovation, advancing toward an era of Data Sanity.
A Practical Guide to LLM Context Engineering
Building a Data Platform as a Single Source of Truth
When LLMs Train Your Models: Using AI to Build Better AI
When Updates Feel Like Breakups: Designing Safe and Responsible AI Companions
Mesa Optimisation in Large Models and AI Safety
AI Meets Healthcare: The Good, the Bad, and the Ugly
Business in the Age of AI: Trends, Management, and Safety
Are Multimodal Transformers Disruptive Technology in Radiology AI?
To AI or Not to AI? Integration & Adoption Case Study
Data Sorted! How to Turn Mayhem into Insight
LLMs Are Expensive — Here's How Big Tech Makes Them Less So
Navigating the Enforcement of the EU AI Act: Practical Insights
LLM Super‑Teams: Modern Ensembling Strategies That Beat Any Single Giant
Post training LLMs: Smarter Algorithms & Rewards
Intro to AI & LLMs
Hacking the Prompt AI Security in the Era of LLMs
Agentic Product Design: What Works, What Fails, and Why
How We Use AI Tools: Mental Models & Misconceptions
🎙 Interactive Latent Diffusion: Steering Text-to-Image Models
🎙 Managing Data Scientists: A Story of Uncertainty, AGI & Sand Frogs
Creative Assistants: Embedding AI in Design & Art by Veljko Ćirić